This book features high-quality, peer-reviewed research papers presented at the International Conference on Data Electronics and Computing (ICDEC 2024), held at Erciyes University, Talas, Kayseri, Turkey, during September 1820, 2024. The book covers topics in communication, networking and security, image, video and signal processing; cloud computing, IoT and smart city, AI/ML, big data and data mining, VLSI design, antenna, and microwave and control.
Violence Detection in Sports using Human Posture Recognition.-
TD-CAPTCHA: An Improved CAPTCHA With Transparent And Decoy Character Images.-
Multilingual Automatic Briefing Generation in Spanish.- Cyrillic URL.-
Predicting Customer Churn in Banking Sector Using Machine Learning
Classification Algorithms.
Dr. Nibaran Das is a full professor in the Department of Computer Science and Engineering at Jadavpur University, Kolkata where he joined in 2006. He received his M.E. in CSE , and Ph.D. in Engineering in 2005 and 2012, both from Jadavpur University and did his postdocs from University of Evora, Portugal. His research interests include artificial intelligence, deep learning, document and medical image processing. He has authored or co-authored over 150 publications in these fields and published nine books/edited volumes in the domains. Professor Das has been recognized with several accolades, including the Best Volunteer Award from the IEEE Kolkata Section in 2015 and the 3rd Excellence Award at the International Document Information Processing School (IDIPS) in 2016. He is a senior member of IEEE, a member of ACM. Presently he is the chairperson of IEEE Kolkata Section, Computer Society Chapter and associate editor of Sadhana Journal. He is the principal supervisor of an ongoing project and complete six as principle/co-principle investigator Sponsored by SERB and other organization. He has been a member of the advisory/program/organizing committees of different reputed International conferences and workshops. . Dr. Esra Kahya Ozyirmidokuz graduated from Erciyes University Control and Computer Engineering Department. She continued with Business Administration master program. In her thesis, she developed an innovative fuzzy expert system aimed at evaluating job application forms. Her Ph.D. thesis was in a carpet manufacturing firm techniques which was an online software system specialized in analyzing machine downtime and error data, utilizing advanced techniques in data mining and machine learning. She worked at Bournemouth University as a visiting researcher in 2015 and in 2019. She worked in the Computer Technologies Department of Kayseri Vocational College between 2005 and 2018 in the Business Administration Department from 2019 to 2022, in Industrial Engineering Department from 2023 to 2025. She Her expertise is in management information systems. Currently, she is a part of the Faculty of Economics and Administrative Sciences. She heads the Interdisciplinary Graduate Management Information Systems Master's Program and Erciyes University HappyCrowd Research Group. Dr. Swagata Mandal is at present an assistant professor at Jalpaiguri Government Engineering College(Autonomous) in West Bengal, India. He received his Bachelor of Technology (B.Tech.) degree in Electronics and Communication from West Bengal University of Technology (WBUT) in 2011 and his M.E. degree in Electronics and Telecommunication Communication Engineering from Bengal Engineering and Science University (Deemed University), now Indian Institute of Engineering, Science and Technology (IIEST), Shibpur, Howrah, India, in 2013. He has done his doctoral research on the Development of FPGA-based Error Resilient Self-Triggered Readout Chain for CBM Experiment at Variable Energy Cyclotron Centre Kolkata, 200132017. He was a post-doctoral fellow at the School of Computer Science Engineering, Nanyang Technological University, Singapore, during 20172018. He is the recipient of the DGFS-PhD fellowship for pursuing a Ph.D. in Engineering Science from the Department of Atomic Energy, Govt. of India, in 2013. Prof. Lale Özbakr received her Bachelor's degree in Computer Engineering from Bilkent University. She pursued her graduate studies at Erciyes University, focusing on Industrial Engineering with an emphasis on Operations Research. Her doctoral thesis was titled Modeling, Analysis, and Solution of Multi-Objective Flexible Job-Shop Scheduling Problems Using Heuristic Methods. Prof. Özbakr currently heads the Industrial Engineering Department at Erciyes University. She has a publication record with over a hundred publications. In addition to her work experience in the private sector, she has completed industry-supported projects and held various positions at different universities and organizations. Her dedication to academia and research is further highlighted by her involvement in numerous projects, demonstrating her expertise in technical sciences as well as in social sciences including MIS. Debotosh Bhattacharjee is working as a full professor in the Department of Computer Science and Engineering, Jadavpur University, with twenty years of post-Ph.D. experience. His research interests pertain to the applications of machine learning techniques for face recognition, gait analysis, hand geometry recognition and diagnostic image analysis. He has authored or co-authored more than 342 journals and conference publications, including several book chapters in biometrics and medical image processing. Two US patents have been granted on his works. Prof. Bhattacharjee has been granted sponsored projects by the Govt. of India funding agencies like the Department of Biotechnology(DBT), Department of Electronics and Information Technology (DeitY), University Grants Commission(UGC) with a total amount of around INR 3 Crore.
